Shengquan Li

Orcid: 0000-0002-4504-3659

Affiliations:
  • PengCheng Laboratory (PCL), Shenzhen, China
  • Harbin Engineering University, College of Underwater Acoustic Engineering, China (2016-2019)
  • Naval University of Engineer, Wuhan, China (PhD 2013)


According to our database1, Shengquan Li authored at least 11 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Debiased Multiplex Tokenization Using Mamba-Based Pointers for Efficient and Versatile Map-Free Visual Relocalization.
Mach. Learn. Knowl. Extr., 2026

Debiased Multiplex Tokenizer for Efficient Map-Free Visual Relocalization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2024
ROV6D: 6D Pose Estimation Benchmark Dataset for Underwater Remotely Operated Vehicles.
IEEE Robotics Autom. Lett., January, 2024

Edge-guided representation learning for underwater object detection.
CAAI Trans. Intell. Technol., 2024

UW-SDF: Exploiting Hybrid Geometric Priors for Neural SDF Reconstruction from Underwater Multi-view Monocular Images.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

FAFA: Frequency-Aware Flow-Aided Self-supervision for Underwater Object Pose Estimation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Dynamic Route Planning for a USV-UAV Multi-Robot System in the Rendezvous Task with Obstacles.
J. Intell. Robotic Syst., April, 2023

Achieving domain generalization for underwater object detection by domain mixup and contrastive learning.
Neurocomputing, April, 2023

2022
Optimal synthesis of mechanisms using repellency evolutionary algorithm.
Knowl. Based Syst., 2022

2021
Mutual Information Re-Registration of Sensitive Region in Forward-Looking Sonar Images Combined With Particle Swarm Optimization Algorithm.
IEEE Access, 2021

Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


  Loading...